VR Review Dataset

We released our dataset with the help of Google Docs, and all of the tables on this site can be opened in a new window to obtain a better experience.

Tips: click on the "open in new window" button on the top right corner of each table.

Interpretation of Each Data Field

app_id: The application ID that uniquely identifies one app on the corresponding app store. The IDs are in diverse forms on different app stores.

app_name: The name of the corresponding VR application.

platform: The corresponding app store where the VR application has been released.

review_time: The timestamp for the creation time of the corresponding review.

review_score: The score given by the user when he/she made the review (typically ranging from 1 to 5). Steam does not have such review rating functions, thus these fields for Steam reviews are empty. 

review_recommend_score: The user's intention to recommend the corresponding application, and the value is either 0 or 1. 1 indicates positive intention towards recommendation, while 0 indicates negative intention. Only steam uses this evaluation system. 

review_helpful_count: The number of users who have marked the corresponding review as helpful.

review_content: The main content of the review.

segmented_review_sentence: The segmented sentence from the original review.

The whole VR Review Dataset, with or without segmentation, is available below.